
GitHub has launched a new security feature that blocks pull requests from merging if they introduce secret scanning alerts. This rule is part of GitHub's repository rulesets and is available in public preview for users with GitHub Secret Protection or Advanced Security. It ensures that any secrets detected in a pull request are resolved before the code can be merged, adding an additional layer of protection beyond push protection. Developers can configure this rule to apply to specific branches and secret types, enhancing the overall security of their repositories.
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GitHub Changelog · June 18, 2026 · Same story
GitHub Changelog · July 14, 2026 · Same story
GitHub Enhances Security with New Pull Request Rule
3 developments
Anthropic is tightening control over Claude Code's autonomous behavior with new environment variables that let you disable 'ultrathink' or cap subagent effort levels. For teams, the introduction of pooled group budgets on the gateway allows shared monthly spending limits across members, a practical fix for enterprise cost management. The release also patches critical bugs where shell commands would hang or crash on exit, stabilizing the developer experience significantly.
This release quietly cements llama.cpp as the universal inference runtime by finally bringing ROCm 10.0 to Linux and Windows alongside CUDA 13.4, effectively closing the hardware gap for AMD users who were previously left behind. The inclusion of native Snapdragon support on Linux marks a significant step toward running local LLMs on ARM-based mobile chips without emulation overhead. While KleidiAI on Apple Silicon is disabled in this build, the broader expansion to diverse accelerators ensures that developers aren't locked into NVIDIA ecosystems anymore.
This release addresses a specific inference artifact where decision prefixes were incorrectly bleeding into output embeddings. By capping shared prefixes at the first output position, llama.cpp ensures that option tokens remain distinct for parent and child tasks. This is a targeted fix for multi-step reasoning or voting workflows rather than a performance boost. It stabilizes complex generation patterns without changing the underlying model architecture.